AI Tool Adoption Intentions Among Philippine Preservice Teachers
A recent investigation published on arXiv explores the factors encouraging preservice teachers in the Philippines to utilize AI educational technologies during their teaching practicum. Utilizing the UTAUT2 framework, researchers collected survey data from 563 participants. They assessed elements such as performance expectancy, social influence, computer self-efficacy, and anxiety. Employing Partial Least Squares Structural Equation Modeling (PLS-SEM) for their examination, the study revealed that performance expectancy and enjoyment were the primary motivators for behavioral intention. Additionally, they found that computer self-efficacy, anxiety, and playfulness significantly influenced effort expectancy. These insights are vital for advancing AI integration in teacher training programs in the country.
Key facts
- Study examines factors influencing preservice teachers' behavioral intention to use AI-enabled educational tools during practicum in the Philippines.
- Theoretical framework: Unified Theory of Acceptance and Use of Technology 2 (UTAUT2).
- Core UTAUT2 constructs: performance expectancy, effort expectancy, hedonic motivation, social influence, facilitating conditions, price value, habit.
- Additional predictors: computer self-efficacy, computer anxiety, computer playfulness.
- Data collected from 563 preservice teachers using a structured questionnaire.
- Analysis method: Partial Least Squares Structural Equation Modeling (PLS-SEM).
- Performance expectancy and hedonic motivation are the strongest predictors of behavioral intention.
- Computer self-efficacy, computer anxiety, and computer playfulness significantly influenced effort expectancy.
Entities
Locations
- Philippines